learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 150

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	6	5.4259	0.0572	5.4238	2.3289
No log	2.0	12	2.8759	0.0	2.8741	1.6953
No log	3.0	18	1.7741	0.0299	1.7725	1.3314
No log	4.0	24	1.2517	0.0	1.2503	1.1182
No log	5.0	30	1.6176	0.0045	1.6162	1.2713
No log	6.0	36	1.0899	-0.0092	1.0885	1.0433
No log	7.0	42	1.7741	-0.0711	1.7718	1.3311
No log	8.0	48	1.0981	0.0628	1.0969	1.0473
No log	9.0	54	1.2972	-0.0324	1.2959	1.1384
No log	10.0	60	1.5152	-0.1327	1.5139	1.2304
No log	11.0	66	1.1122	0.1022	1.1114	1.0542
No log	12.0	72	1.1620	0.0873	1.1607	1.0774
No log	13.0	78	1.1327	0.2097	1.1310	1.0635
No log	14.0	84	1.6260	-0.0320	1.6238	1.2743
No log	15.0	90	1.7116	0.1073	1.7094	1.3074
No log	16.0	96	1.0141	0.3649	1.0130	1.0065
No log	17.0	102	1.2937	0.1454	1.2919	1.1366
No log	18.0	108	1.3728	0.1602	1.3707	1.1708
No log	19.0	114	1.4411	0.1141	1.4387	1.1994
No log	20.0	120	1.3750	0.1880	1.3729	1.1717
No log	21.0	126	1.4704	0.1538	1.4681	1.2116
No log	22.0	132	1.2358	0.1628	1.2338	1.1108
No log	23.0	138	1.4849	0.1029	1.4827	1.2177
No log	24.0	144	1.1566	0.2117	1.1549	1.0747
No log	25.0	150	1.7308	0.0222	1.7282	1.3146
No log	26.0	156	1.1693	0.1753	1.1674	1.0805
No log	27.0	162	1.1853	0.1940	1.1838	1.0880
No log	28.0	168	1.2843	0.1324	1.2822	1.1324
No log	29.0	174	1.4275	0.1467	1.4255	1.1939
No log	30.0	180	1.3778	0.1927	1.3758	1.1729
No log	31.0	186	0.9696	0.2860	0.9681	0.9839

genki10/BERT_AugV8_k7_task1_organization_sp060_lw010_fold1

BERT_AugV8_k7_task1_organization_sp060_lw010_fold1